pystoxx 0.0.7

Search and retrieve current data and historical information for publicly traded companies

PyStoxx:

PyStoxx is a Python library of Stoxx by Recursiv that allows users to retrieve current data and historical information for publicly traded companies with our JSON API.

Features Include:

• Current & Historical Company Sentiment
• Company News Articles
• Pricing History
• Price Quotes
• Company Data
• Company Competition

Quick Start Guide

1. Install Stoxx using Pip

    pip install pystoxx
   

2. Import Stoxx

    from pystoxx import Stoxx
   

3. Add your API Token using the RapidAPI extension. Sign up for a free plan without a credit card by visiting Stoxx By Recursiv hosted at RapidAPI.

    stoxx = Stoxx()
    stoxx.RapidAPI("add-your-token-here")
   

4. Query your data of interest:

    ​stoxx.get_historical_prices(ticker="msft", months=2)
   

Query Current and Historical Stock Ticker Data:

Historical Pricing Data:

Input:

    # Get historical daily pricing data
    stoxx.get_historical_prices(ticker="msft", months=2)

Output:

    {
    "changePercent": 0,
    "close": 198.76,
    "date": "2020-03-19",
    "high": 208.75,
    "low": 195.27,
    "open": 201,
    "symbol": "MSFT",
    "updated": 1613017108000,
    "volume": 4796717
    }

Historical News & Sentiment Data:

Input:

    # Get historical news & sentiment data
    stoxx.get_historical_news(ticker="msft", months=2)

Output:

    {
    "FeedUrl": "url-to-article",
    "Polarity": 0.08882323,
    "PublishDate": "2021-02-17T20:04:00+00:00",
    "Subjectivity": 0.2944154,
    "Title": "News Corp. and Google Settle Long Pay Fight With Global News Pact",
    "VaderAggregate": 0.9933,
    "VaderNegative": 0.045,
    "VaderNeutral": 0.827,
    "VaderPositive": 0.127,
    "id": "4cb8b419-2ec1-32d0-849a-2ac524475c23"
    },

Company Data and Information:

Input:

    # Get company information
    stoxx.get_company_data("msft")

Output:

    {
            "companyName": "Microsoft Corporation",
            "country": "US",
            "industry": "Data Processing, Hosting, and Related Services",
            "sector": "Information",
            "symbol": "MSFT",
            "tags": [
            "Technology Services",
            "Packaged Software",
            "Information",
            ],
            "website": "https://www.microsoft.com/en-us",
            "zip": "98052-6399"
    }

Stock Ticker Price Quote:

Input:

    # Get a price quote
    stoxx.get_price_quote("msft")

Output:

    {
            "close": 230.72,
            "exchange": "NASDAQ/NGS (GLOBAL SELECT MARKET)",
            "high": 234.19,
            "high52w": 245.56,
            "lastTime": "March 18, 2021",
            "lastUpdate": 1616097600583,
            "low": 230.33,
            "low52w": 131.19,
            "marketCap": 1740140021762,
            "name": "Microsoft Corporation",
            "pe": 34.38,
            "symbol": "MSFT",
            "volume": 34852251
    }

List of Publicly Traded Company Tickers:

Input:

    # Get a list of all publicly traded companies
    stoxx.get_public_companies()

Output:

    [
            { "symbol" : "msft" },
            { "symbol" : "amzn" },
            { "symbol" : "amgn" },
            ...
    ]

Find Company Competition:

Input:

    # Get company competition
    stoxx.get_company_competition("msft")

Output:

    {
    "company": "msft",
    "competition": [
            "ORCL",
            "IBM",
            "GOOGL",
            "AAPL",
            ...
    ]
    }

Get Current Market Performance by Sector:

Input:

    # Get market performance
    stoxx.get_market_performance()

Output:

    [
            {
            "datetimeUpdated": 1616097600045,
            "performance": -0.00209,
            "sector": "Health Care"
            },
            ...
    ]

Calculate Sentiment of Stock Market Text:

Input:

    # Calculate Sentiment
    stoxx.calculate_sentiment({"content" : "This is an amazing pypi library!"})

Output:

    {
            "VaderPositive": 0.45,
            "VaderNeutral": 0.55,
            "VaderNegative": 0.0,
            "VaderAggregate": 0.6239,
            "Subjectivity": 0.9,
            "Polarity": 0.750
    }